Best local model for vision - 2nd benchmark update - 21 Jun 2026

The second benchmark update for local vision models has been released, expanding the evaluation from 20 to 30 images and including three tests per image, resulting in a total of 2,070 tests conducted over 60 to 70 hours. Key findings indicate that the Qwen3.5 4B model (nothink) achieved the highest score of 75.5/100 in the 4–8 GB VRAM tier, while the use of "thinking mode" negatively impacted performance, suggesting that vision tasks benefit from a focus on perception rather than reasoning. This update is significant for practitioners as it provides refined model recommendations based on hardware capabilities and highlights the importance of model architecture choices for vision tasks.